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Senior Data Engineer, Public Sector

Scale AI· Data, Technology & Systems
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Washington, DC$180k - $225kfull-timePosted 3mo ago

About the role

Data Engineer responsible for building Scale's analytical and business-intelligence infrastructure for the Public Sector unit, including data warehouses, data marts, and BI reporting environments, and enabling scalable, self-serve data solutions across operations, finance, and engineering.

Responsibilities

  • Work with operations, finance, and engineering to drive the development of pipelines that provide single-source-of-truth foundational accuracy
  • Continually improve ongoing data pipelines and simplify self-service support for business stakeholders
  • Perform regular system audits, and create data quality tests to ensure complete and accurate reporting of data/metrics
  • Develop repeatable, scalable analytical solutions, such as data models, improved pipelines, or better underlying tables
  • Have an active Secret security clearance (Top Secret preferred)

Qualifications

  • 5+ years of relevant work experience in a role requiring application of data modeling and analytic skills
  • Ability to create extensible and scalable data schema and pipelines that lay the foundation for downstream analysis
  • Mastery of SQL and relational databases; experience with programming languages (e.g., Python/R)
  • Experience building a reliable transformation layer and pipelines from ambiguous business processes using tools such DBT to create a foundation for data insights

Skills

Required:SQLRelational database designPython or RDBT

Benefits

  • comprehensive health, dental and vision coverage
  • retirement benefits
  • a learning and development stipend
  • generous PTO
  • commuter stipend (potential)
Last updated Sep 9, 2026. Interested? Apply on the company site.
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About Scale AI

Data-centric infrastructure to accelerate the development of AI

Scale accelerates the development of AI within organizations of any size to deliver critical business insights and operational efficiency. Its data-centric infrastructure platform leverages RLHF (Reinforced Learning with Human Feedback) to help organizations build the strongest AI models that supercharge their business, with customers across industries including Meta, Microsoft, U.S. Army, DoD’s Defense Innovation Unit, Open AI, General Motors, Toyota Research Institute, Brex, Instacart and Flexport.

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